Prolegomena to a Neurocomputational Architecture for Human Grammatical Encoding and Decoding

Por um escritor misterioso
Last updated 20 setembro 2024
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Minimalist lexicon of sentence (1)
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
PDF] Incremental sentence generation: a computer model of grammatical encoding
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Regions More Activated for Producing Before than After Sentences
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Graded sensitivity to structure and meaning throughout the human language network
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
The structure of our model of scene description. It echoes the
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
A) Lateral/Medial pathways as implemented in the model (B) PRc and PHc
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Neuroinformatics Volume 12, issue 1
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Kempen, Verb-second word order after German weil 'because': Psycholinguistic theory from corpus-linguistic data
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
Frontiers Syntactic flexibility and planning scope: the effect of verb bias on advance planning during sentence recall
Prolegomena to a Neurocomputational Architecture for Human Grammatical  Encoding and Decoding
PDF] Parsing Verb-Final Clauses in German: Garden-path and ERP Effects Modeled by a Parallel Dynamic Parser

© 2014-2024 acecr-tums.ir. All rights reserved.